Sonar Pro Search
vs
openai logo
o1-pro

Compare performance metrics, pricing, and capabilities of these AI models.

Key Differences
Context Length
Equal
Sonar Pro Search: 200K
o1-pro: 200K
Cost Efficiency
Lower Cost
Prompt: $3.00M vs $150.00M
Completion: $15.00M vs $600.00M

Capabilities

Sonar Pro Search
Modality: text+image->text
Inputs: text, image
o1-pro
Modality: text+image->text
Inputs: text, image, file
P
Sonar Pro Search
perplexity/sonar-pro-search

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for d...

Context Length200K
Prompt Price$3.00M
ReleasedOctober 30, 2025
Supports:
text+image->text
O
o1-pro
openai/o1-pro

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more ...

Context Length200K
Prompt Price$150.00M
ReleasedMarch 19, 2025
Supports:
text+image->text
Detailed Comparison
Feature
Sonar Pro Search
openai logo
o1-pro
Context Length200K200K
Prompt Price$3.00M$150.00M
Completion Price$15.00M$600.00M
Modalitytext+image->texttext+image->text
Release DateOctober 30, 2025March 19, 2025
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between Sonar Pro Search and o1-pro. o1-pro offers a larger context window of 200K compared to Sonar Pro Search's 200K, though o1-pro comes at a higher cost.

Sonar Pro Search Strengths

  • Competitive context size (200K)
  • More cost-effective per token
  • Multimodal capabilities for image analysis
  • Latest generation model

o1-pro Strengths

  • Competitive context size (200K)
  • Premium pricing for high-quality output
  • Multimodal capabilities for image analysis
  • Proven and stable model

When to Use Each Model

Choose Sonar Pro Search when:
  • • You need competitive context capability for complex tasks
  • • Cost efficiency is important in your use case
  • • Working with images and text that benefit from deep analysis
Choose o1-pro when:
  • • You need competitive context capability for long-form content
  • • Cost efficiency is not the primary concern for your budget
  • • Working with images and text that require advanced processing
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